UiPath

All AI roles · updated 2026.07

Limited public evidence

“Typical automation hiring pattern. Workflow mapping, integration design and safe automation are emphasized.”

stages

3–7 weeks

end to end

practice questions

Hiring now

UiPath has 90 open roles right now

landed applies to roles like these for you, on each company’s own site, with answers written for the role.

Get 5x interviews10 free auto-applies. No card.

AI Engineer Intern
Bellevue
Enterprise Account Executive - Oil & Gas
Remote
Principal Platform Engineer
Bangalore - Engineering

Or practice this loop first

The interview, stage by stage

1
Recruiter screen30 min
workflow decompositionagentsenterprise integrations
Prepare one concrete example and one practice problem for workflow decomposition.
2
Technical/product screen60 min
agentsenterprise integrationsreliability
Prepare one concrete example and one practice problem for agents.
3
Automation case or take home60 min
enterprise integrationsreliabilitygovernance
Prepare one concrete example and one practice problem for enterprise integrations.
4
Architecture panel240 min
workflow decompositionagentsenterprise integrations
Prepare one concrete example and one practice problem for reliability.
5
Customer/values round60 min
agentsenterprise integrationsreliability
Prepare one concrete example and one practice problem for governance.

What decides the offer

Workflow decomposition

25%

Uses specific evidence to demonstrate workflow decomposition.

Agents

20%

Uses specific evidence to demonstrate agents.

Enterprise integrations

20%

Uses specific evidence to demonstrate enterprise integrations.

Reliability

20%

Uses specific evidence to demonstrate reliability.

Governance

15%

Uses specific evidence to demonstrate governance.

They look hardest for workflow decomposition, agents, enterprise integrations, reliability.

Your four weeks

Week 1

Company, product and role model

·Read current product/research material
·Map the role to three company problems
·Prepare a two-minute motivation narrative

Week 2

Core technical and product competencies

·Practice workflow decomposition
·Practice agents
·Practice enterprise integrations

Week 3

Timed simulations

·Complete two timed exercises
·Run one system/product design mock
·Refine six behavioral stories

Week 4

Company-specific loop rehearsal

·Practice linked questions
·Rehearse project deep dive with adversarial follow-ups
·Prepare interviewer questions and logistics

Practice these

Where people slip

!Generic motivation that could apply to any AI company
!Buzzword-heavy answers without mechanisms
!No measurable impact or personal ownership
!Ignoring cost, latency, safety or operational constraints
!Treating reported questions as a script rather than preparing underlying skills

Ask them this

?What distinguishes strong performance in the first six months?
?Which model, data or product constraint most limits the team today?
?How are research, product and engineering decisions resolved?
?How does the team evaluate AI quality before and after launch?
?What is the policy on AI-tool use during each interview stage?